Typical Scenarios

User Experience

User Experience

Both passengers and drivers find it difficult to pick up orders during peak hours.

  • By predicting order status in a certain area, this solution helps the platform to optimize the scheduling services, shortening the waiting time for passengers.
Service Operations

Service Operations

Coupons attract more users to the platform and efficient coupon issuing is required.

  • This solution provides the platform with an AI-based coupon issuing service to gain more profit with fewer coupons. The innovative offline simulator of the scheduling algorithm can predict profits to avoid waste.
Cost Effectiveness

Cost Effectiveness

  • Decoupled Storage and Compute for big data: This solution helps you build a smart data lake based on the open-source Hudi to support business intelligence (BI) and AI, reducing the costs by over 30%.
  • Hybrid scheduling: Peak hours and unexpected factors, such as weather, can cause high pressure to the platform. Resources need to be reserved and planned ahead. Hybrid scheduling can ensure the platform to function stably during peak hours.

Solution Architectures

Description

This solution integrates the industry knowhow with Huawei Cloud's technical experience in AI, big data, Iaas, and PaaS to provide a suitable solution for mobility companies.

  • Driving Security

    Identify fatigued and distracted driving to reduce accident risks.

  • Device-Cloud Synergy

    Fully perceive the changes of devices to help you manage service lifecycle provided on the device side.

  • Decoupled Storage and Compute

    Separate both service data and engine-level metadata.

Solution Advantages

High-level Safety

Market verified fatigue and distraction detection algorithms scored over 80 points in both accuracy and recall rates. In some scenarios, the accuracy exceeded 95%.

Easy Management of Large-Scale Devices

Your platform can be closely connected to hundreds and thousands of vehicles, thanks to device-cloud synergy and Hilens.

Quasi-Real-Time Data

The Hudi-based lakehouse architecture and decoupled storage and compute allow quasi-real-time updatae of warehouse, effectively reducing costs.

Cost Effectiveness

Big data platform with decoupled storage and compute helps you build a unified data lake to save storage resources and avoid data transfer.

Success Stories

T3Go

T3Go built its lakehouse based on the open-source Hudi architecture with Huawei Cloud FusionInsight. This solution features decoupled storage and compute to support both BI and AI.


Cao Cao Mobility

Cao Cao Mobility developed a dual-camera security solution together with Huawei Cloud to integrate device management, algorithm upgrade, alarm reporting, and driver screening. Huawei Cloud's algorithm provides high accuracy and recall rate, helping Cao Cao drivers avoid car accidents.

UCAR Inc

UCAR, a leading auto mobility provider in China, cooperates with Huawei Cloud to reduce O&M risks and costs. By completing its digital transformation, the company achieved higher efficiency with lower costs.